Align X
Link to open source: https://github.com/Python-kunal/physio_app
Link to Live Project: https://physio-app-navy.vercel.app/
AlignX — AI-Powered Digital Physiotherapy & Posture Analysis
Overview
AlignX is an AI-powered digital physiotherapy platform designed to make movement assessment and rehabilitation more accessible through computer vision. The platform uses a standard camera to analyze body posture, track exercise movements, and provide real-time feedback without requiring specialized hardware or wearable sensors.
The Problem
Home-based rehabilitation often lacks continuous supervision, making it difficult for users to determine whether exercises are being performed with the correct form. Even small deviations in posture or joint movement can affect exercise effectiveness and rehabilitation outcomes.
Our Approach
AlignX combines real-time pose estimation with biomechanical analysis to understand human movement through camera-based body tracking. The system evaluates key body landmarks and joint angles to identify movement deviations and provide actionable feedback during exercises.
Key Capabilities
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Real-time human pose and movement tracking
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Joint-angle and biomechanical analysis
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Exercise form and posture assessment
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Real-time corrective feedback
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Voice-based guidance during exercises
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Movement-based risk assessment
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Personalized rehabilitation workflows
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Progress monitoring and visual analytics
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Gamified rehabilitation experience
Technology
Frontend: React, Vite, Tailwind CSS
Backend: Python, FastAPI
Computer Vision: MediaPipe Pose Landmarker
AI: Generative AI APIs
Database: Supabase / PostgreSQL
Visualization: Recharts
Core Logic: Biomechanical movement and joint-angle analysis
Innovation
The core of AlignX is its camera-first approach to digital rehabilitation. By combining pose estimation, biomechanical analysis, and AI-driven assistance, the platform transforms a conventional camera into an interactive movement-analysis interface.
Impact
AlignX aims to bridge the gap between professional physiotherapy sessions and at-home rehabilitation by providing users with immediate, understandable feedback while they exercise. The platform is designed to complement professional guidance rather than replace clinical diagnosis or treatment.
Achievement
AlignX was developed and presented as part of a Generative AI hackathon, where the project secured Runner-Up recognition.
This build was uploaded as a hackathon project



